A qualitative model for temporal reasoning with incomplete information

  • Authors:
  • Hector Geffner

  • Affiliations:
  • Departamento de Computación, Universidad Simón Bolívar, Caracas, Venezuela

  • Venue:
  • AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
  • Year:
  • 1996

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Abstract

We develop a qualitative framework for temporal reasoning with incomplete information that features a modeling language based on rules and a semantics based on infinitesimal probabilities. The framework relates logical and probabilistical models, and accommodates in a natural way features that have been found problematic in other models like nondeterminism, action qualifications, parallel actions, and abduction to actions and fluents.